세계의 교통 애널리틱스 시장 규모는 2022년에 256억 달러로 평가되며, 2023년 311억 6,000만 달러에서 2031년에는 1,499억 2,000만 달러로 성장하며, 예측 기간 중(2024-2031년) CAGR은 21.7%로 추이할 전망입니다.
지능형 교통시스템(ITS)(ITS) 시장은 특히 신흥 국가의 교통 체증과 도시화 추세에 힘입어 크게 성장할 것으로 예상됩니다. 교통 연구소는 미국인들이 연간 30억 갤런 이상의 연료를 소비하고 매년 평균 42시간을 교통 체증에 시달리고 있다고 밝히며 효율적인 교통 관리 솔루션의 시급한 필요성을 강조했습니다. 인구가 증가하고 도시가 확장됨에 따라 교통 분석에 대한 수요가 증가하여 시장 성장을 더욱 촉진할 가능성이 높습니다. 미국 교통부가 주요인프라 프로젝트에 630억 달러 이상을 투자한 것으로 대표되는 정부의 스마트 시티 개발 노력도 이러한 성장에 중요한 역할을 할 것으로 보입니다. 또한 승용차 및 상용차량 증가는 교통 체증을 악화시키므로, 교통 흐름을 최적화하고 충돌을 줄이며 전반적인 교통 효율성을 개선하기 위해 분석 툴이 필수적입니다. 그러나 교통 시스템에서 데이터 분석에 대한 의존도가 높아짐에 따라 데이터 보안 및 개인 정보 보호에 대한 심각한 우려가 제기되고 있습니다. 전반적으로 미국 교통 분석 시장은 스마트 교통 솔루션에 대한 기술 발전과 전략적 투자에 힘입어 향후 수년간 지속적인 성장을 이룰 것으로 예상됩니다.
Global Transportation Analytics Market size was valued at USD 25.6 billion in 2022 and is poised to grow from USD 31.16 billion in 2023 to USD 149.92 billion by 2031, growing at a CAGR of 21.7% during the forecast period (2024-2031).
The Intelligent Transportation Systems (ITS) market is poised for significant growth, fueled by increasing traffic congestion and urbanization, particularly in emerging economies. The Transportation Institute highlights that Americans burn over 3 billion gallons of fuel annually and spend an average of 42 hours in traffic each year, underlining the urgent need for efficient traffic management solutions. As populations swell and cities expand, the demand for transportation analytics will likely rise, further driving market growth. Government initiatives aimed at developing smart cities, exemplified by the US Department of Transportation's investment of over USD 63 billion in major infrastructure projects, will also play a crucial role in this expansion. Additionally, the rise in both passenger and commercial vehicle numbers exacerbates traffic congestion, making analytics tools essential for optimizing traffic flow, reducing collisions, and improving overall transportation efficiency. However, the growing reliance on data analytics in transportation systems raises critical concerns regarding data security and privacy, which companies must address to gain consumer trust and compliance. Overall, the US Transportation Analytics Market is set to experience sustainable growth in the coming years, driven by technological advancements and strategic investments in smart transportation solutions.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Transportation Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Transportation Analytics Market Segmental Analysis
Global Transportation Analytics Market is segmented by Type, Deployemnt, Mode, and Region. Based on Type, the market is segmented into Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics. Based on Deployment, the market is segmented into Cloud, On-Premises, and Hybrid. Based on Mode, the market is segmented into Roadways, Railways, Airways, Waterways. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Transportation Analytics Market
The Global Transportation Analytics market is significantly driven by the increasing deployment of advanced traffic management systems (ATMs) and smart transportation initiatives worldwide. These analytics tools enhance efficiency by minimizing fuel consumption, reducing air pollution, and decreasing travel times, leading to heightened demand for such solutions. The trend toward operational automation further fuels this market expansion, as innovative technologies like artificial intelligence (AI) and machine learning (ML) are deployed to optimize transportation processes. Complementing this growth are government initiatives aimed at developing smart cities, which integrate transportation analytics with intelligent systems. Factors like urbanization, evolving lifestyles, increased investments, and rising consumer spending also contribute to the robust growth of this market.
Restraints in the Global Transportation Analytics Market
The Global Transportation Analytics market is poised for growth; however, it faces significant restraints that may inhibit expansion. Chief among these is the challenge of recouping return on investment (ROI) from outdated systems, which can deter organizations from adopting advanced analytics solutions. Additionally, stringent transportation regulatory standards complicate implementation efforts, posing further risks. The complexity of transporting diverse commodities and the integration challenges associated with legacy systems add another layer of difficulty, which could stifle innovation and slow the adoption of new analytics technologies in the sector between 2023 and 2030, ultimately impacting market growth trajectories.
Market Trends of the Global Transportation Analytics Market
The Global Transportation Analytics market is witnessing significant growth, driven by advancements in smart transportation infrastructure and the integration of AI and machine learning technologies. As electronic access and mobility management solutions proliferate, demand for analytics that monitor and optimize transportation systems is surging. Innovations like AI-powered real-time passenger density data collection enhance operational efficiency and traveler experience. The push toward greener mobility solutions further accelerates market expansion by promoting automated processes and reducing congestion. Consequently, the sector is capitalizing on increased awareness among travelers regarding system management and streamlined journey planning, signaling a robust trend towards smarter, safer transportation solutions.